1st Edition

Digital Signals Theory

By Brian McFee Copyright 2024
277 Pages 132 Color Illustrations
by Chapman & Hall

277 Pages 132 Color Illustrations
by Chapman & Hall

277 Pages 132 Color Illustrations
by Chapman & Hall

Where most introductory texts to the field of digital signal processing assume a degree of technical knowledge, this class-tested textbook provides a comprehensive introduction to the fundamentals of digital signal processing in a way that is accessible to all. Beginning from the first principles, readers will learn how signals are acquired, represented, analyzed and transformed by digital... Read more

About the Authors

  1. Signals
  2. Digital Sampling
  3. Convolution
  4. Complex Numbers
  5. The Discrete Fourier Transform
  6. Properties of the DFT
  7. DFT Invertability
  8. Fast Fourier Transform
  9. The Short-Terms Fourier
  10. Frequency Domain Convolution
  11. Infinite Impulse Response
  12. Analyzing IIR Filters
  13. Mathematical Fundamentals

Bibliography

Index

Biography

Brian McFee is Assistant Professor of Music Technology and Data Science at New York University.

He develops machine learning tools to analyze music and multimedia data. This includes recommender systems, image and audio analysis, similarity learning, cross-modal feature integration, and automatic annotation.